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genome-alignment-qc

Assess alignment quality with coverage depth, mapping rates, insert size, and on-target metrics using samtools, mosdepth, and picard.

Skill by Scientific-Tooling

IndexedMIT★ 4
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/scientific-tooling-genome-alignment-qc

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Assess alignment quality with coverage depth, mapping rates, insert size, and on-target metrics using samtools, mosdepth, and picard.

Use cases: testing

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Runs as
Shell scripts

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/genome-alignment-qc

What's inside

Skill name
genome-alignment-qc
Description
Assess alignment quality with coverage depth, mapping rates, insert size, and on-target metrics using samtools, mosdepth, and picard.
License
MIT
Instructions
52 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (10)

  • SKILL.md
  • README.md · agents/
  • claude.yaml · agents/
  • openai.yaml · agents/
  • .gitkeep · assets/
  • config.yaml
  • README.md · references/
  • samtools-mosdepth-picard-qc.md · references/
  • batch_run.sh · scripts/
  • run.sh · scripts/

SKILL.md (first lines)

# Skill: genome-alignment-qc

## Use When

- User wants to evaluate BAM quality before variant calling.
- User needs to assess coverage depth and uniformity across the genome or target regions.
- User wants to check mapping rate, duplication rate, and insert size distribution.
- User needs to calculate on-target rate for whole-exome sequencing (WES).
- User wants to compare QC metrics across samples to detect batch effects.

## Inputs

- Required:
  - BAM file with index (`.bam` + `.bai`).
- Optional:
  - Target BED file (for WES on-target metrics).
  - Reference FASTA (required for picard metrics).
  - Output directory (default: current directory).
  - Per-base coverage flag (enables mosdepth per-base output; default: off).

## Workflow

1. Run `samtools stats` and `samtools flagstat` for mapping summary.
2. Run `samtools idxstats` for per-chromosome read counts.
3. Run `mosdepth` for coverage distribution (genome-wide, or restricted to target BED).
4. If target BED provided: compute on-target rate and per-target coverage statistics.
5. Run `picard CollectInsertSizeMetrics` for insert size distribution.
6. Run `picard CollectAlignmentSummaryMetrics` for detailed alignment statistics.
7. Compile summary: mapping rate, duplicate rate, mean coverage, coverage uniformity (CV), median insert size, on-target rate (if WES).
8. Flag metrics outside recommended thresholds (see `knowledge/sources/genomics/quality-thresholds.md`).

## Output Contract

- `samtools stats` and `samtools flagstat` output files.
- `mosdepth` coverage files (`.mosdepth.global.dist.txt`, `.per-base.bed.gz` if enabled).
- Picard insert size metrics file and histogram.
- Picard alignment summary metrics file.
- Compiled QC summary with key metrics and threshold flags.

## Limits

- samtools, mosdepth, and picard must be installed and available on `$PATH`.
- mosdepth per-base output can be very large for WGS (~10 GB for 30x human).
- Picard requires a Java runtime (Java 8+).
- Reference FASTA is required for picard metrics but not for samtools/mosdepth.
- This skill reports metrics for a single BAM; multi-sample comparison is out of scope.
- Common failure cases:
  - BAM index (`.bai`) missing or out of date relative to the BAM file.
  - Target BED file using different chromosome naming convention than the BAM (e.g., `chr1` vs `1`).
  - Picard failing due to missing reference FASTA sequence dictionary (`.dict`).

From Scientific-Tooling/structured-intelligence, MIT.

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Last commit (this folder)
Mar 19, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

genome-alignment-qc skill. Agent Mart. https://agentmart.dev/skills/scientific-tooling-genome-alignment-qc (last updated 2026-10-24)